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Article: Generation of finite tight frames by Householder transformations

TitleGeneration of finite tight frames by Householder transformations
Authors
KeywordsCondition number
Frames
Householder matrix
Tight frame
Tight frame matrix
Issue Date2006
Citation
Advances in Computational Mathematics, 2006, v. 24, n. 1-4, p. 297-309 How to Cite?
AbstractFinite tight frames are widely used for many applications. An important problem is to construct finite frames with prescribed norm for each vector in the tight frame. In this paper we provide a fast and simple algorithm for such a purpose. Our algorithm employs the Householder transformations. For a finite tight frame consisting of m vectors in ℝn or ℂn only O(nm) operations are needed. In addition, we also study the following question: Given a set of vectors in ℝn or ℂn, how many additional vectors, possibly with constraints, does one need to add in order to obtain a tight frame? © Springer 2006.
Persistent Identifierhttp://hdl.handle.net/10722/363086
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.995

 

DC FieldValueLanguage
dc.contributor.authorFeng, De Jun-
dc.contributor.authorWang, Long-
dc.contributor.authorWang, Yang-
dc.date.accessioned2025-10-10T07:44:30Z-
dc.date.available2025-10-10T07:44:30Z-
dc.date.issued2006-
dc.identifier.citationAdvances in Computational Mathematics, 2006, v. 24, n. 1-4, p. 297-309-
dc.identifier.issn1019-7168-
dc.identifier.urihttp://hdl.handle.net/10722/363086-
dc.description.abstractFinite tight frames are widely used for many applications. An important problem is to construct finite frames with prescribed norm for each vector in the tight frame. In this paper we provide a fast and simple algorithm for such a purpose. Our algorithm employs the Householder transformations. For a finite tight frame consisting of m vectors in ℝ<sup>n</sup> or ℂ<sup>n</sup> only O(nm) operations are needed. In addition, we also study the following question: Given a set of vectors in ℝ<sup>n</sup> or ℂ<sup>n</sup>, how many additional vectors, possibly with constraints, does one need to add in order to obtain a tight frame? © Springer 2006.-
dc.languageeng-
dc.relation.ispartofAdvances in Computational Mathematics-
dc.subjectCondition number-
dc.subjectFrames-
dc.subjectHouseholder matrix-
dc.subjectTight frame-
dc.subjectTight frame matrix-
dc.titleGeneration of finite tight frames by Householder transformations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10444-004-7637-9-
dc.identifier.scopuseid_2-s2.0-33645770294-
dc.identifier.volume24-
dc.identifier.issue1-4-
dc.identifier.spage297-
dc.identifier.epage309-

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